How to Set Up a UDF-Compatible Data Source for TradingView Using Binance

Jun 29, 2022 | Programming

In this guide, you’ll learn how to implement a sample server-side UDF-compatible data source specifically for the Binance exchange. This will allow you to leverage the TradingView Charting Library effectively. Ready to dive in? Let’s get started!

Installation Steps

First things first, let’s install the necessary packages and run the server.

  • Install the required packages:
    $ npm install
  • Start the server:
    $ npm start

    The default port is 80.

Docker Setup

For those who prefer using Docker, here’s how you can set up your server:

  • Build the Docker image:
    $ docker build . -t udf
  • Run the Docker container:
    $ docker run -p 8080:80 udf

Testing the Data Source

To test the data source you’ve set up, open your web browser and enter the following URLs based on your setup:

Integrating with TradingView Charting Library

Once your server is up and running, you can integrate it with the TradingView Charting Library.

  1. Download and open the index.html file from the TradingView repository. Look for new TradingView.widget() and configure it as follows:

    set symbol to BTCUSDT
  2. Set the data feed based on your server’s port:

    • If on port 80:
      new Datafeeds.UDFCompatibleDatafeed('http://localhost')
    • If on port 8080:
      new Datafeeds.UDFCompatibleDatafeed('http://localhost:8080')

To serve the library, you might want to use http-server. Here’s how to do it:

  • Install http-server globally:
    $ npm install -g http-server
  • Start the server on port 3000:
    $ http-server -p 3000

Finally, check the library by visiting:

http://localhost:3000/index.html

Troubleshooting

If something goes awry while setting everything up, consider the following troubleshooting ideas:

  • Ensure that all commands have been executed successfully and that you are using the correct versions of Node.js and Docker.
  • Check your firewall settings to ensure that the necessary ports (80, 8080, 3000) are open.
  • Make sure your Docker service is up and running if using Docker.
  • Verify the URL you are trying to access and ensure that it matches your local setup.
  • For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

There you have it! By following these steps, you’ll have a functional UDF-compatible data source set up and integrated with the TradingView charting library. Enjoy visualizing your Binance trading data seamlessly!

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